{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T20:05:55Z","timestamp":1779221155638,"version":"3.51.4"},"reference-count":35,"publisher":"National Library of Serbia","issue":"2","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["ComSIS","COMPUT SCI INF SYST","COMPUT SCI INFORM SY","COMPUTER SCI INFORM","COMSIS J"],"published-print":{"date-parts":[[2026]]},"abstract":"<jats:p>Various unwanted and unavoidable noises corrupt Heart Sound Signals (HSSs). It is strongly required to suppress respiratory sound and ambient noise due to significant reduction of clarity and interpretation of HSSs. In this paper, we propose a joint heart sound denoising using Dual-Tree Complex Wavelet Transform (DTCWT) and Adaptive Sparsity-assisted Signal Smoothing (ASASS) algorithm. In this research, the signal is first decomposed by DTCWT to obtain the multi-scale feature representation of the signal. Subsequently, ASASS suppresses pseudo-Gibbs artifacts around signal boundaries of DTCWT while implementing adaptive thresholding strategies to maximize the Signal-to-Noise Ratio (SNR). Experimental validation on the PhysioNet\/CinC 2016 database and Open Access Heart Sound Dataset (OAHS Dataset) demonstrates that the proposed method significantly outperforms existing techniques. Under conditions involving Gaussian white noise (GWN) SNR of 0 dB, the proposed method achieves an SNR of 9.01 dB and a Root Mean Square Error (RMSE) of 0.032, outperforming standalone DTCWT and multiple existing models.<\/jats:p>","DOI":"10.2298\/csis250828017h","type":"journal-article","created":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T07:42:54Z","timestamp":1776411774000},"page":"687-706","source":"Crossref","is-referenced-by-count":0,"title":["Joint heart sound denoising using DTCWT and Adaptive Sparsity-assisted signal smoothing algorithm"],"prefix":"10.2298","volume":"23","author":[{"given":"Jianqiang","family":"Hu","sequence":"first","affiliation":[{"name":"School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, P.R. China + Engineering Research Center for Big Data Application in Private Health Medicine of Fujian Universities, Putian University, Putian, Fujian, P.R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dafeng","family":"Shen","sequence":"additional","affiliation":[{"name":"School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, P.R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lin","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, P.R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, P.R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shigen","family":"Shen","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Huzhou University, Huzhou, P.R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yan","family":"Che","sequence":"additional","affiliation":[{"name":"Engineering Research Center for Big Data Application in Private Health Medicine of Fujian Universities, Putian University, Putian, Fujian, P.R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1078","reference":[{"key":"ref1","doi-asserted-by":"crossref","unstructured":"Hadiyoso, S., Mardiyah, D., Ramadan, D., Ibrahim, A.: Implementation of electronic stethoscope for online remote monitoring with mobile application. Bulletin of Electrical Engineering and Informatics 9(4), 1595-1603 (2020)","DOI":"10.11591\/eei.v9i4.2231"},{"key":"ref2","doi-asserted-by":"crossref","unstructured":"Centracchio, J., Parlato, S., Esposito, D., Andreozzi, E.: Accurate localization of first and second heart sounds via template matching in force cardiography signals. 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